Gaurav Roy

Co-own offline architecture for Power Apps Mobile (10M+ installs); 6-15 engineers depend on it.
• Online/offline toggle: 2,000+ users, 114 apps in year one.
• Indexing revamp: p80 query time down 25% (iOS, Windows).
• Server-authoritative conflict resolution with client rebase.
• AI on-call diagnosis tooling: 10-30 engineers, hours to minutes.
• 6-10 enterprise customers; mentored interns.

Freelance mentor for software engineering learners: 1:1 mentoring, mock interviews, live cohort classes and architecture reviews of capstone projects. Scaler 2021-2023, Pesto Tech 2021-2024, Bosscoder Academy 2025-2026. Guest speaker on AI-assisted development, Vedam School of Technology (2026).

Delivered recurring webinars on artificial intelligence for students, covering game development with vibe coding.

Owned video playback end to end on Android and iOS for Amazon Music (100M+ installs app-wide); team of 1-5.
• Cut playback start time 50% (2.8 s to 1.4 s).
• Built the playback experience for the Sonic Rush tier, launched publicly.
• Helped revamp the app, reusing components across audio and video.
• Proposed UX and feature improvements to product management.

Recurring mentor across multiple cohorts — a mix of 1:1 sessions, mock interviews, and live cohort classes. Also served as an architecture reviewer for cohort capstone projects, evaluating live web-based builds — including e-commerce platforms and no-code tools — across multiple teams, and provided feedback on system design, scalability, and engineering best practices.

Recurring mentor across multiple cohorts — a mix of 1:1 mentoring, mock interviews, and live instructional sessions for software engineering learners.

Co-architected Microsoft Lists Mobile on Android and iOS (6-15 engineers; 50M+ installs app-wide).
• Integrated the cross-platform C++ (OneDrive) core; built the network/API layer and MVVM UI.
• Shared core held 50-70% of logic and roughly halved time to ship on both platforms.
• Shipped 2 releases; led cross-team requirements discussions.

Promoted from Senior MTS to Computer Scientist for PDF Edit scope.

• Worked on Acrobat DC Mobile 2020 (iOS and Android): Liquid Mode, a readable, flowable view for standard PDF documents.
• Built end-to-end automation for PDF Edit in Acrobat Android to protect build quality and reliability.

Lead Android engineer for PDF Edit in Acrobat Mobile (500M+ installs app-wide); team of 1-5.
• Adopted by 75k users in two years.
• Integrated the document-editing library into cross-platform Reader Mobile; the architecture became a platform for other services.
• Shipped 2 full releases (Acrobat DC Mobile 2018-19) on a C++ core.

Built software for high-end smart TVs and other digital products; monitored and profiled memory usage on these devices.

Developed data migration practices and analysed source systems to map source data to target systems.

Thesis : Artificial Neural Network based speaker recognition system (94.2% Accuracy)

B.TECH in Computer Science and Engineering

Completed Schooling from CBSE board.

Completed 10th from CBSE Board